Data Engineer

W2 Opportunity | Data Engineer – Real-Time Operations Intelligence (RTOI) 📍 Hybrid: Alpharetta, GA OR Menlo Park, CA (3 days onsite required) 💼 Investment Banking Client | Long-Term Contract About the Team: The Real-Time Operations Intelligence (RTOI) team within Client Enterprise Computing is responsible for streaming terabytes of data daily. We design large-scale ETL pipelines leveraging Kafka, ElasticSearch ELK, Snowflake, and Hadoop, delivering hundreds of dashboards that provide real-time insights and actionable intelligence for business and operations. Role Overview: We are seeking a Streaming Data Engineer with strong distributed systems knowledge to help build and scale enterprise-level ETL frameworks. The ideal candidate will be hands-on, collaborative, and comfortable working across the full SDLC—from requirements gathering to deployment. Key Responsibilities: • Design and develop distributed ETL pipelines using modern data technologies. • Build applications that run both on-prem and in cloud environments. • Work across the full development lifecycle: requirements, design, coding, testing, and deployment. • Collaborate with cross-functional teams and communicate technical solutions effectively. • Continuously learn and adapt to emerging technologies. Requirements: ✔ 5+ years application development experience ✔ 2+ years data engineering experience with Kafka ✔ Strong experience with Linux environments ✔ Proficiency in at least one programming language: Python, Ruby, Java, C/C++, or Go ✔ Solid SQL and database background Nice-to-Have Skills: • Cloud experience (AWS or similar) • ElasticSearch / ELK Stack Additional Details: • Must be local to Alpharetta, GA OR Menlo Park, CA • Resume must state which location the candidate is applying for